<abstract>
<title style='display:none'>Abstract</title>
Identifying the intersection between digital finance, green finance and social finance is important for promoting sustainable financial, social and environmental development. This paper suggests a link between digital finance, green finance and social finance. Using a simple conceptual model, I show that digital finance offers a smooth, efficient and seamless channel for individuals and corporations to fund social projects that deliver a social dividend, and green projects lead to a sustainable environment. The implication is that digital finance is both an enabler and a channel for efficient green financing and social financing.
</abstract>

Digital Finance, Green Finance and Social Finance: Is there a Link?

<abstract>
<title style='display:none'>Abstract</title>
In 1961, Miller and Modigliani (M–M) published a dividend irrelevance theory, which shows that the payment of dividends does not make any changes to the value of the company. The assumption about the existence of the perfect market made by M–M became the basis for a common criticism of the theory, and the critics also tried to empirically prove that dividend payments have a positive effect on future stock prices. A different interpretation was presented by Damodaran (2007), who stated that a dividend is a compensation for lost capital gains on the first day without a dividend. The aim of the article is to verify the M-M theory according to the Damodaran approach based on the data of companies listed on the WSE in 2019–2021. For this purpose the calculations of the total rate of return on investments consisting in the purchase of shares at the end of the cum-dividend day and the sale of these shares at the end of the ex-dividend day were carried out. Then, the average values of the total rates of return in each of the three years were calculated and using the Student’s t-test it was examined whether the average of one-session rate of return is insignificantly different from zero. If so, it would mean that the dividend irrelevance theory is correct. In 2019 and 2021, the average total rates of return turned out to be statistically insignificant, which supports the M—M theory. The negative significant value of the average in 2020 may result from the COVID-19. The M–M theory perceived in this way can be a warning to investors looking for “quick profits” and trying to apply the strategy of buying dividend stocks at the cum-dividend day and selling them at the ex-dividend day.
</abstract>

mieczyslaw.kowerski@akademiazamojska.edu.pl

The Miller–Modigliani dividend irrelevance theory as a warning for investors looking for quick profits from investments in companies paying dividends

<abstract><title style='display:none'>Abstract</title>This paper presents a theoretical and empirical outlook on different aspects of various cryptocurrencies, blockchain technology including the evolution of digital tokens and how they widely affect the financial markets, organizations, banks, governments via analyzing the characteristics and current history of cryptocurrencies alongside with blockchain technology. The choice of this topic was motivated by the fact that the virtual money concept and blockchain technology are utterly new phenomena. This new technology is completely decentralized making the subject worthy of scientific research.The paper solely focuses on analyzing how cryptocurrencies currently affect the financial markets and the future trends of these virtual tokens in the global economy. The study is keen to further examine the impact of Bitcoin and other cryptocurrencies on international fund transfers. Literature review and case study with up-to-date data has been included in the analysis. The following results have been obtained: cryptocurrencies offer a wide range of features such as faster, cheaper and more secure cross-border money transfers that can also provide anonymity. Most crypto tokens are highly volatile due to their nature and various other factors. Cryptocurrencies could provide more beneficial options for users on cross border transfers compared to traditional methods of fund transfers. Cryptocurrencies might have the potential to replace paper money and gain mainstream recognition throughout the world. The study sheds light onto current and future trends of cryptocurrencies and blockchain. It is outlined for the crypto, financial, economic field.</abstract>

The Crypto Effect on Cross Border Transfers and Future Trends of Cryptocurrencies

<abstract><title style='display:none'>Abstract</title>The article presents the main features of one category of innovative financial products – exchange traded commodities (ETCs) and results of the analysis of the European market for ETCs. ETCs are products listed and traded on the stock exchanges and they offer investors returns based on various assets (commodities or currencies). In contrast with the most widely recognized exchange traded funds (ETFs), ETCs are structured as debt instruments due to legal requirements regarding investment funds in the European Union. The European ETCs market is the largest in the world (in terms of assets its share in the global market in 2015 was close to 98%). It had developed rapidly until 2012 when total assets reached the record-high value of ca. 26,6 billion EUR (i.e. 9,5% of total assets of all exchange traded products listed in Europe). Over the next few years both the value of assets and market share of ETCs decreased significantly, mostly due to decline of the tracked assets’ prices (especially commodities) – during the analyzed time period the average flows to commodity or currency ETCs were close to 0. An important feature of the European market is its high concentration level, both in terms of companies launching ETCs and locations of the trade in the share of ETCs. Four ETC providers manage most of the assets (with the cumulated market share of over 94%). Three exchanges –in London, Milan and Frankfurt am Main account for almost the entire regulated market turnover of ETCs in Europe.</abstract>

Exchange traded commodities as a category of innovative products on European financial markets

<abstract>
<title style='display:none'>Abstract</title>
This paper analyses how financially included adults might become unbanked again. Agents of financial inclusion incorporate economic and social constraints in the delivery of formal financial services. These constraints limit the ability of poor banked adults to use basic financial services to the fullest. The constraints affect agents of financial inclusion positively and affect customers negatively up to a point where the marginal benefit of being financially included is negative for poor customers. When the marginal benefit of using formal financial services becomes negative, the affected banked adults may discontinue using their formal accounts or exit the formal financial sector when they can no longer bear the negative effect of social and economic constraints that hinder their ability to enjoy basic financial services to the fullest.
</abstract>

Financial Inclusion-Exclusion Paradox: How Banked Adults become Unbanked Again

<abstract>
<title style='display:none'>Abstract</title>
This paper highlights the globally-important determinants of financial inclusion. The determi-nants identified in this paper are formal account ownership; demand for formal savings; demand for formal borrowing; financial literacy and education; debit and credit card usage; the need to receive remittances from family and friends; size of the financial system; number of automated teller machines (ATMs); number of bank branches; proximity to a bank; availability and access to mobile phones; availability of digital financial products and services; technology infrastructure; government policy; culture and traditional belief systems; national financial inclusion strategy and implementation; and direct legislation.
</abstract>

Financial Inclusion: Globally Important Determinants

<abstract>
<title style='display:none'>Abstract</title>
This study examines the existing credit rating methodology proposed in the literature to explore the development of a new credit rating model based on the financial variables of the enterprise. The focus is on the period after the financial crisis of 2018. This study aims to develop a credit rating model using neural networking and tests the same for its accuracy. The goal of this study is to address the issue brought up by previous research on subjectivity in the data used to determine creditworthiness. The database for the study includes financial data up to July 2022 from December 2018. A model is created to assess an enterprise's creditworthiness using neural networking. This study first evaluated the existing credit rating models proposed in the literature. Next, based on financial data and neural networking, a model is developed. It was evident that the model developed in this study has an accuracy of 85.16% and 76.47% on train and test data respectively. There exist several models to determine the creditworthiness of borrowers but all failed to address the concern of subjectivity in the data. The model created in this study made use of cutting-edge technology such as neural networking and financial data. This paper's unique approach and model construction based on a comparison of existing models is rare in the literature and justify the originality of this paper with a practical value at the global level.
</abstract>

Symbiosis Institute of Business Management

Modelling Financial Variables Using Neural Networking to Access Creditworthiness

<abstract>
<title style='display:none'>Abstract</title>
This study aims to investigate the economic characteristics of cryptocurrencies and assess the current legal framework regarding the potential to regulate transactions involving cryptocurrencies and other virtual assets. To achieve this goal, a complex set of general scientific and specialized research methods was applied, including comparative legal analysis, system-structural examination, generalization method, as well as methods of analysis and synthesis, DFD to build a model of the influence of cryptocurrency on the financial security of the state. As a result, we delved into the economic essence of blockchain-based cryptocurrencies as an alternative to traditional fiat currencies based on the principle of decentralization. It has been established that Bitcoin has a unique "hardness", due to which this cryptocurrency is rightly called «digital gold». The article analyzed the dynamics of the development of the use of blockchain technologies for 2009-2022, the results of which indicated the continuation of their annual growth in use. The article presents the results of a study on the introduction of cryptocurrency in Ukraine, which made it possible to systematize the main risks associated with it. In further research, it is possible to continue studying the economic-legal mechanism of the introduction of the national cryptocurrency in Ukraine and the use of blockchain in other financial processes at the state level.
</abstract>

H.S. Skovoroda Kharkiv National Pedagogical University

O.M. Beketov Kharkiv National University of Urban Economy

Volodymyr Vinnichenko Central Ukrainian State University

The Impact of Website Performance on Business Sales

<abstract>
<title style='display:none'>Abstract</title>
In today`s digital era, it is all the more desirable that all businesses, whether gigantic or minor in operation, should adopt financial technology and grow their businesses within their region and outside of the region. The Micro, Small &amp; Medium Enterprises (MSME) segment is the mainstay of the Indian economic environment thus it is crucial that MSME players adopt financial technology in their routine commercial transactions. The present research study was conducted to investigate the enablers of usage of a Mobile Wallet by MSMEs in rural areas of India using interpretive structural modeling. It aims to categorize the foremost enablers and assess the relative relations between the recognized ten key enablers and proposes a hierarchical outline of vital enablers on MSME entrepreneurs from several hill states of India. The most prominent enabler that promoted the use of mobile wallets among MSME entrepreneurs included risk factors and perceived cost. The study suggested that multi-dimensional determinations are required to make certain of the use of mobile wallets by MSME entrepreneurs so that they can assess maximum economic opportunities and support the fiscal expansion of the state and the country.
</abstract>

Enablers for Usage of the Mobile Wallet by Msmes in Rural India: Using the Interpretive Structural Modelling Approach

<abstract>
<title style='display:none'>Abstract</title>
This study examines the influence of fiscal councils on public opinion regarding fiscal issues. Using a survey-framing experiment on a representative sample of 900 inhabitants of the Czech Republic, the study evaluates how the framing of a message regarding the negative effects of rising government debt would impact the attitudes of respondents. The results show that framing the message as coming from the Czech Fiscal Council does not increase its credibility. Fiscal councils should not focus on persuading the public of their viewpoint on public finance issues, but rather utilize the knowledge of agenda-setting theory to gain media attention for fiscal issues.
</abstract>

The Impact of Fiscal Councils on Public Perception: A Survey Experiment in the Czech Republic

<abstract>
<title style='display:none'>Abstract</title>
The main purpose of the article is to identify key factors of adaptive potential that can have a significant impact on counteracting crisis situations and increasing the level of financial security and business resilience of enterprises. The object of the study is determination of the factors of adaptive potential that directly affect the system of financial security and business sustainability of a enterprise. The scientific task is to model the hierarchical ordering of the key factors of adaptive potential according to the level of their significance in influencing crisis situations in the context of ensuring the financial security and business sustainability of enterprises. The research methodology involves the use of expert analysis methods with the additional use of the Delphi method, the method of hierarchical analysis, and graph theory. As a result of the study, a list of the most significant factors of adaptive potential for countering crisis situations was presented. As a result, the factors of adaptive potential are hierarchically ordered from the most significant to the least significant in ensuring the financial security of the enterprise. The innovativeness of the results obtained is revealed through the proposed approach to modeling the determination and order of factors of adaptive potential to counteract crisis situations. The study is limited by not taking into account the specifics of specific enterprises. Prospects for further research are aimed at taking into account the specific type of activity of enterprises for a specific country.
</abstract>

Using Adaptive Potential to Counteract Crisis Situations in the Context of Ensuring Financial Security and Business Sustainability of Enterprises

<abstract>
<title style='display:none'>Abstract</title>
This paper studies the relationship between risk propensity, education and financial literacy. The results of the empirical investigation confirm the importance of the key explanatory variables of education and financial competence. Since they are both included in the model, the different roles of each are singled out. In particular, while education turns out to be a factor contributing to raising risk tolerance, financial literacy tends to reduce risk propensity. Risk attitude is evaluated by self-reported assessment and modeled through cumulative logit models. In order to handle anomalous data, M estimators with a bounded influence function are considered.
</abstract>

Modeling Financial Risk Attitude: The Role of Education And Financial Literacy

<abstract>
<title style='display:none'>Abstract</title>
Mobile banking has been a game changer for financial organizations in terms of remote banking services. However, many customers remain uncertain due to its security. Therefore, improving the comprehension of the customer’s reasons and methods of using bank sites, including their behaviour towards e-banking, is crucial. This article discusses the matter by suggesting a technology acceptance model that integrates the theory of the planned behavior model in the classic TAM model with trust and perceived risk in order to elucidate the aspects that influence users’ acceptance of mobile banking applications in Palestine. This study is designed to give both theoretical and empirical support for e-commerce adoption. We are also capable in providing particular marketing ideas for practitioners in relation to the uptake of mobile banking.
</abstract>

Predicting Mobile Banking Adoption: An Integration of TAM and TPB with Trust and Perceived Risk

<abstract><title style='display:none'>Abstract</title><bold>Purpose</bold> The main objective of this study is to expand the technology acceptance model (TAM) by examining the factors affecting the adoption of mobile banking services by the customers of Palestinian banks and to design a comprehensive model based on TAM and TPB and additional constructs.<bold>Design/methodology/approach</bold> This study used the quantitative approach with cross sectional research design and a questionnaire as a data tool. From the six big cities in Palestine, we surveyed 1000 banking consumers. The samples include different characteristics. For construct relationship analysis this study applied partial least squares (PLS).<bold>Findings</bold> The study framework provides a complete view of mobile banking services. This framework takes into consideration more determinants for prediction than other studies on the adoption of innovations. The results of using this model managed to clarify nearly 77.4 percent of the dependent variable (intention to adopt mobile banking service) variation. This is a much greater value than those of the previous studies. Moreover, this study found that the perceived risk has a negative effect on consumers’ intention to use mobile banking services. Attitude, facilitating conditions, perceived ease of use, website usability, and perceived trust were identified as the important variables that have a significant positive effect on the consumers’ intention to use mobile banking services in Palestine.<bold>Originality/value</bold> – the findings can be used by financial institutions and banks to enhance the usage rate of consumers’ adoption and to develop their strategies.</abstract>

Expanding TAM and Investigating the Factors that Effect Consumer Intention to Adopt Mobile Banking in Palestine

<abstract><title style='display:none'>Abstract</title>The article presents the results of the review of the empirical literature regarding the impact of quantitative easing (QE) on emerging markets (EMs). The subject is of interest to policymakers and researchers due to the increasingly larger role of EMs in the world economy and the large-scale capital flows occurring after 2009. The review is conducted in a systematic manner and takes into consideration different methodological choices, samples and measurement issues. The paper puts the summarized results in the context of transmission channels identified in the literature. There are few distinct methodological approaches present in the literature. While there is a consensus regarding the direction of the impact of QE on EMs, its size and durability have not yet been assessed with sufficient precision. In addition, there are clear gaps in the empirical findings, not least related to relative underrepresentation of the CEE region (in particular, Poland).</abstract>

The Impact of Quantitative Easing on Emerging Markets – Literature Review

<abstract>
<title style='display:none'>Abstract</title>
It is quite common that the structure of a time series changes abruptly. Identifying these change points and describing the model structure in the segments between these change points is an important task in financial time series analysis. Change point detection is the identification of abrupt changes in the generative parameters of sequential data. In application areas such as finance, online rather than offline detection of change points in time series is mostly required, due to their use in predictive tasks, possibly embedded in automatic trading systems. However, the complex structure of the data generation processes makes this a challenging endeavor. This paper is concerned with online change point detection in financial time series using the Bayesian setting. To this end, the Bayesian posterior probability of change at a specific time is proposed and some procedures are presented for selecting the priors and estimation of parameters. Applications in simulated financial time series are given. Finally, conclusions are proposed.
</abstract>

Bayesian Online Change Point Detection in Finance

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